Search Filters

Search Results

Found 1 results

510(k) Data Aggregation

    K Number
    K983744
    Date Cleared
    1999-01-21

    (90 days)

    Product Code
    Regulation Number
    870.3250
    Reference & Predicate Devices
    N/A
    Why did this record match?
    Device Name :

    MCAS (MODULAR CLIP APPLIER SYSTEM)

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The Applied Medical Modular Clip Applier System is indicated for ligation of tubular structures or vessels where a non-absorbable ligating device is indicated.

    Device Description

    The Applied Medical Modular Clip Applier System (MCAS) is a modular reposable device intended for ligation of tubular structures or vessels where a nonabsorbable ligating device is indicated. The reusable clip applier is made of stainless steel and is similar to standard clip appliers and surgical clamp designs currently on the market. The disposable clip cartridge is made of various plastic and metal materials and will be sold sterile. The clip cartridges will be available in four sizes, small, medium/large, and large and will house six to ten titanium clips depending on the clip size to be used. The cartridges are color coded Yellow, Blue, Green and Orange respectively according to their size. The key difference between the Applied MCAS and the predicate device is the modular design which provides the user with multiple clips inside a cartridge which is loaded onto a reusable applier instead of manually loading individual clips into the applier during surgical procedures.

    AI/ML Overview

    The provided text is a 510(k) summary for the Applied Medical Modular Clip Applier System (MCAS). It states that the device passed all testing to demonstrate substantial equivalence to the predicate device and introduces no new safety and effectiveness issues when used as instructed.

    However, the document does not describe specific acceptance criteria or the details of any studies, including sample sizes, ground truth establishment, or expert involvement. It is a regulatory submission focused on demonstrating substantial equivalence to a predicate device rather than presenting detailed performance study results against predefined criteria.

    Therefore, most of the requested information cannot be extracted from this document.

    Here's an attempt to populate the table and answer the questions based only on the provided text, highlighting what is not available:

    1. Table of Acceptance Criteria and Reported Device Performance

    Acceptance Criteria (from document)Reported Device Performance (from document)
    Not explicitly stated"passed all testing to demonstrate substantial equivalence to the predicate device"
    Not explicitly stated"introduces no new safety and effectiveness issues when used as instructed"

    2. Sample size used for the test set and the data provenance

    • Sample Size for Test Set: Not specified.
    • Data Provenance: Not specified (e.g., country of origin, retrospective or prospective).

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts

    • Number of experts: Not specified.
    • Qualifications of experts: Not specified.

    4. Adjudication method for the test set

    • Adjudication method: Not specified.

    5. If a multi reader multi case (MRMC) comparative effectiveness study was done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance

    • MRMC study: No. This device is a surgical instrument (clip applier), not an AI-powered diagnostic or interpretive system, so an MRMC study comparing human readers with and without AI assistance is not applicable.

    6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done

    • Standalone performance: No. This device is a mechanical surgical instrument. "Standalone performance" in the context of an algorithm or AI is not applicable here.

    7. The type of ground truth used (expert consensus, pathology, outcomes data, etc.)

    • Type of ground truth: Not specified. The document refers to "testing to demonstrate substantial equivalence," which likely involved mechanical and functional testing against specifications and comparison to the predicate device, rather than a "ground truth" as might be established for diagnostic image analysis.

    8. The sample size for the training set

    • Sample size for training set: Not applicable/not specified. As a mechanical device, there is no "training set" in the sense of machine learning.

    9. How the ground truth for the training set was established

    • Ground truth for training set: Not applicable/not specified.
    Ask a Question

    Ask a specific question about this device

    Page 1 of 1